Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir

The focus of this work is to design a deeply quantized anomaly detector of oil leaks that may happen at the junction between the wind turbine high-speed shaft and the external bracket of the power generator. We propose a block-based binary shallow echo state network (BBS-ESN) architecture belonging...

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Autores principales: Matteo Cardoni, Danilo Pietro Pau, Laura Falaschetti, Claudio Turchetti, Marco Lattuada
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/752c8b673a104a1db2ba206ae45870f9
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